Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

Autor: Sara Simblett, Erin Dawe-Lane, Gina Gilpin, Daniel Morris, Katie White, Sinan Erturk, Julie Devonshire, Simon Lees, Spyridon Zormpas, Ashley Polhemus, Gergely Temesi, Nicholas Cummins, Matthew Hotopf, Til Wykes

Publikováno v: Journal of Medical Internet Research, Vol 26, p e43954 (2024)

BackgroundRemote measurement technology (RMT) involves the use of wearable devices and smartphone apps to measure health outcomes in everyday life. RMT with feedback in the form of data visual representations can facilitate self-management of chronic

Externí odkaz: https://doaj.org/article/2f8c2a28f8ce42c18798897abad88058

Multi-Omic Analysis of Esophageal Adenocarcinoma Uncovers Candidate Therapeutic Targets and Cancer-Selective Posttranscriptional Regulation

Autor: Fitzgerald, Rebecca C., Edwards, Paul A.W., Grehan, Nicola, Nutzinger, Barbara, Loreno, Christine, Redmond, Aisling M., Abbas, Sujath, Freeman, Adam, Smyth, Elizabeth C., O'Donovan, Maria, Miremadi, Ahmad, Malhotra, Shalini, Tripathi, Monika, Cheah, Calvin, Coles, Hannah, Millington, Curtis, Devonshire, Ginny, Eldridge, Matthew, Secrier, Maria, Jammula, Sriganesh, Davies, Jim, Crichton, Charles, Carroll, Nick, Hardwick, Richard H., Safranek, Peter, Hindmarsh, Andrew, Sujendran, Vijayendran, Hayes, Stephen J., Ang, Yeng, Sharrocks, Andrew, Preston, Shaun R., Bagwan, Izhar, Save, Vicki, Skipworth, Richard J.E., Hupp, Ted R., O'Neill, J Robert, Tucker, Olga, Beggs, Andrew, Taniere, Philippe, Puig, Sonia, Contino, Gianmarco, Underwood, Timothy J., Walker, Robert C., Grace, Ben L., Lagergren, Jesper, Gossage, James, Davies, Andrew, Chang, Fuju, Mahadeva, Ula, Goh, Vicky, Ciccarelli, Francesca D., Sanders, Grant, Berrisford, Richard, Chan, David, Cheong, Ed, Kumar, Bhaskar, Sreedharan, L., Parsons, Simon L., Soomro, Irshad, Kaye, Philip, Saunders, John, Lovat, Laurence, Haidry, Rehan, Scott, Michael, Sothi, Sharmila, Lishman, Suzy, Hanna, George B., Peters, Christopher J., Moorthy, Krishna, Grabowska, Anna, Turkington, Richard, McManus, Damian, Coleman, Helen, Petty, Russell D., Bartlet, Freddie, O'Neill, J. Robert, Yébenes Mayordomo, Marcos, Mitulović, Goran, Al Shboul, Sofian, Bedran, Georges, Faktor, Jakub, Hernychova, Lenka, Uhrik, Lukas, Gómez-Herranz, Maria, Kocikowski, Mikołaj, Vojtěšek, Bořivoj, Arends, Mark J., Hupp, Ted, Alfaro, Javier Antonio

Publikováno v: In Molecular & Cellular Proteomics June 2024 23(6)

Integration of genomic aberrations to predict clinical outcomes for patients with gastroesophageal adenocarcinoma receiving neoadjuvant chemotherapy

Autor: E.C. Smyth, D. Watson, M.P. Castro, B. Nutzinger, S. Kapoor, S. Rajagopalan, C. Cheah, P.R. Nair, A. Alam, G. Devonshire, N. Grehan, R.P. Suseela, A. Tyagi, A.K. Agrawal, M. Sauban, A. Pampana, A. Ghosh, Y. Ullal, Y. Narvekar, M.D. Macpherson, J.A. Wingrove, R.C. Fitzgerald

Publikováno v: ESMO Gastrointestinal Oncology, Vol 3, Iss , Pp 100010- (2024)

Background: Esophageal cancer [esophagogastric adenocarcinoma (OGA)] shows heterogeneity at the molecular level, leading to lower efficacy rates and highlighting the need for personalized treatment strategies. We have developed a computational model

Externí odkaz: https://doaj.org/article/f44050107fef46b790bebcdba5b5fad4

Mutational signature dynamics shaping the evolution of oesophageal adenocarcinoma

Autor: Sujath Abbas, Oriol Pich, Ginny Devonshire, Shahriar A. Zamani, Annalise Katz-Summercorn, Sarah Killcoyne, Calvin Cheah, Barbara Nutzinger, Nicola Grehan, Nuria Lopez-Bigas, OCCAMS Consortium, Rebecca C. Fitzgerald, Maria Secrier

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)

Abstract A variety of mutational processes drive cancer development, but their dynamics across the entire disease spectrum from pre-cancerous to advanced neoplasia are poorly understood. We explore the mutagenic processes shaping oesophageal adenocar

Externí odkaz: https://doaj.org/article/80b7ae7055464931a7d92bf9f8491937

The Efficacy of Graded Motor Imagery and Its Components on Phantom Limb Pain and Disability: A Systematic Review and Meta-Analysis

Autor: Katleho Limakatso, Aidan G. Cashin, Sam Williams, Jack Devonshire, Romy Parker, James H. McAuley

Publikováno v: Canadian Journal of Pain, Vol 7, Iss 1 (2023)

ABSTRACTIntroduction Graded Motor Imagery (GMI) is a non-invasive and inexpensive therapy used to treat Phantom Limb Pain (PLP) by sequentially activating motor networks in such a way that movement and pain are unpaired. The objective of this systema

Externí odkaz: https://doaj.org/article/a92e6b40535841cb9eecb5219341d7a2